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<div class="header">
  <div class="headertitle"><div class="title">BoostNumpyNdarrayHelper.hpp</div></div>
</div><!--header-->
<div class="contents">
<a href="_boost_numpy_ndarray_helper_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span> </div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="preprocessor">#pragma once</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span> </div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="preprocessor">#if defined(NUMCPP_INCLUDE_BOOST_PYTHON_INTERFACE) &amp;&amp; !defined(NUMCPP_NO_USE_BOOST)</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span> </div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#include &lt;iostream&gt;</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="preprocessor">#include &lt;string&gt;</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;utility&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="preprocessor">#include &quot;boost/python.hpp&quot;</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="preprocessor">#include &quot;boost/python/numpy.hpp&quot;</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#include &quot;<a class="code" href="_stl_algorithms_8hpp.html">NumCpp/Core/Internal/StlAlgorithms.hpp</a>&quot;</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#include &quot;<a class="code" href="_types_8hpp.html">NumCpp/Core/Types.hpp</a>&quot;</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="preprocessor">#include &quot;<a class="code" href="num2str_8hpp.html">NumCpp/Utils/num2str.hpp</a>&quot;</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span> </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespacenc.html">nc</a></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span>{</div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span>    <span class="keyword">namespace </span>boostPythonInterface</div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span>    {</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>        <span class="comment">//================================================================================</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment"></span>        <span class="keyword">template</span>&lt;<span class="keyword">typename</span> dtype&gt;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>        <span class="keyword">class </span>BoostNdarrayHelper</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        {</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>        <span class="keyword">public</span>:</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>            <span class="comment">//================================================================================</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment"></span>            <span class="keyword">enum class</span> Order</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>            {</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>                F,</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>                C</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>            };</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span> </div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment"></span>            <span class="keyword">explicit</span> BoostNdarrayHelper(<span class="keyword">const</span> boost::python::numpy::ndarray&amp; inArray) :</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>                theArray_(inArray.<a class="code hl_function" href="namespacenc.html#ae65c22c4f7d8d6a6529b43a58b56acb7">astype</a>(boost::python::numpy::dtype::get_builtin&lt;dtype&gt;())),</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>                numDimensions_(static_cast&lt;<a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>&gt;(inArray.get_nd())),</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>                shape_(numDimensions_),</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>                strides_(numDimensions_),</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>                order_(Order::C)</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span> </div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>            {</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>                Py_intptr_t <span class="keyword">const</span>* shapePtr = inArray.get_shape();</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>                <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>                {</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>                    strides_[i] = <span class="keyword">static_cast&lt;</span><a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(theArray_.strides(i));</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>                    shape_[i]   = shapePtr[i];</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>                }</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span> </div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>                <span class="keywordflow">if</span> (numDimensions_ &gt; 1 &amp;&amp; inArray.strides(0) &lt; inArray.strides(1))</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>                {</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>                    order_ = Order::F;</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>                }</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>            }</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span> </div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span><span class="comment"></span>            <span class="keyword">explicit</span> BoostNdarrayHelper(boost::python::tuple inShape) :</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>                theArray_(boost::python::numpy::<a class="code hl_function" href="namespacenc.html#abce4b61ffbaa3276f4f84088fdf25e95">zeros</a>(inShape, boost::python::numpy::dtype::get_builtin&lt;dtype&gt;())),</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>                numDimensions_(static_cast&lt;<a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>&gt;(theArray_.get_nd())),</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>                shape_(numDimensions_),</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>                strides_(numDimensions_),</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>                order_(Order::C)</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>            {</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>                Py_intptr_t <span class="keyword">const</span>* shapePtr = theArray_.get_shape();</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>                <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>                {</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>                    strides_[i] = <span class="keyword">static_cast&lt;</span><a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(theArray_.strides(i));</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>                    shape_[i]   = shapePtr[i];</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>                }</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span> </div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>                <span class="keywordflow">if</span> (numDimensions_ &gt; 1 &amp;&amp; theArray_.strides(0) &lt; theArray_.strides(1))</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                {</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>                    order_ = Order::F;</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                }</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            }</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span> </div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span><span class="comment"></span>            <span class="keyword">const</span> boost::python::numpy::ndarray&amp; getArray() noexcept</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>            {</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                <span class="keywordflow">return</span> theArray_;</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>            }</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span> </div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span><span class="comment"></span>            boost::python::numpy::matrix getArrayAsMatrix()</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>            {</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                <span class="keywordflow">return</span> boost::python::numpy::matrix(theArray_);</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            }</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span> </div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="comment"></span>            <a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a> numDimensions() noexcept</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>            {</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>                <span class="keywordflow">return</span> numDimensions_;</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>            }</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span> </div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span><span class="comment"></span>            <span class="keyword">const</span> std::vector&lt;Py_intptr_t&gt;&amp; <a class="code hl_function" href="namespacenc.html#ae2b224742bc8263190d451a44ebe5e34">shape</a>() noexcept</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>            {</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>                <span class="keywordflow">return</span> shape_;</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>            }</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span> </div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span><span class="comment"></span>            <a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> <a class="code hl_function" href="namespacenc.html#a25f36ba02112a206936fae22b0724bb9">size</a>()</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>            {</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>                <a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> theSize = 1;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>                <span class="keywordflow">for</span> (<span class="keyword">auto</span> dimSize : shape_)</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>                {</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>                    theSize *= <span class="keyword">static_cast&lt;</span><a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a><span class="keyword">&gt;</span>(dimSize);</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>                }</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>                <span class="keywordflow">return</span> theSize;</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>            }</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span> </div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment"></span>            <span class="keyword">const</span> std::vector&lt;uint32&gt;&amp; strides()</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>            {</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>                <span class="keywordflow">return</span> strides_;</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>            }</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span> </div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment"></span>            Order order()</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            {</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>                <span class="keywordflow">return</span> order_;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>            }</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span> </div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span><span class="comment"></span>            <span class="keywordtype">bool</span> shapeEqual(BoostNdarrayHelper&amp; otherNdarrayHelper)</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>            {</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>                <span class="keywordflow">if</span> (shape_.size() != otherNdarrayHelper.shape_.size())</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>                {</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>                    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>                }</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span> </div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>                <span class="keywordflow">return</span> <a class="code hl_function" href="namespacenc_1_1stl__algorithms.html#ab200b92040bf3da8ee4325f5a994e73d">stl_algorithms::equal</a>(shape_.begin(), shape_.end(), otherNdarrayHelper.shape_.begin());</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>            }</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span> </div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span><span class="comment"></span>            dtype&amp; operator()(<a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index)</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>            {</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>                checkIndices1D(index);</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span> </div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>                <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span>dtype*<span class="keyword">&gt;</span>(theArray_.get_data() + strides_.front() * index);</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>            }</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span> </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span><span class="comment"></span>            dtype&amp; operator()(<a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index1, <a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index2)</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>            {</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>                checkIndices2D(index1, index2);</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span> </div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>                <span class="keywordflow">return</span> *<span class="keyword">reinterpret_cast&lt;</span>dtype*<span class="keyword">&gt;</span>(theArray_.get_data() + strides_.front() * index1 +</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>                                                 strides_[1] * index2);</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span>            }</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span> </div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span><span class="comment"></span>            <span class="keywordtype">void</span> printArray1D()</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>            {</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>                printf(<span class="stringliteral">&quot;array = \n&quot;</span>);</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>                <span class="keywordflow">if</span> (numDimensions_ != 1)</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>                {</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>                    std::cout &lt;&lt; <span class="stringliteral">&quot;printArray1D can only be used on a 1D array.&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span>                    <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>                }</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span> </div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>                <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> i = 0; i &lt; shape_.front(); ++i)</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>                {</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>                    printf(<span class="stringliteral">&quot;\t%f\n&quot;</span>, <span class="keyword">operator</span>()(i));</div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>                }</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>            }</div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span> </div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span><span class="comment"></span>            <span class="keywordtype">void</span> printArray2D()</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>            {</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>                printf(<span class="stringliteral">&quot;array = \n&quot;</span>);</div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>                <span class="keywordflow">if</span> (numDimensions_ != 2)</div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span>                {</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>                    std::cout &lt;&lt; <span class="stringliteral">&quot;printArray2D can only be used on a 2D array.&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>                    <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span>                }</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span> </div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>                <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> index1 = 0; index1 &lt; shape_.front(); ++index1)</div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>                {</div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span>                    <span class="keywordflow">for</span> (<a class="code hl_typedef" href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">int32</a> index2 = 0; index2 &lt; shape_.back(); ++index2)</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>                    {</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span>                        printf(<span class="stringliteral">&quot;\t%f&quot;</span>, <span class="keyword">operator</span>()(index1, index2));</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>                    }</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span>                    printf(<span class="charliteral">&#39;\n&#39;</span>);</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>                }</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>            }</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span> </div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>        <span class="keyword">private</span>:</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>            <span class="comment">//====================================Attributes==============================</span></div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span>            boost::python::numpy::ndarray theArray_;</div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span>            <a class="code hl_typedef" href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">uint8</a>                         numDimensions_;</div>
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno">  280</span>            std::vector&lt;Py_intptr_t&gt;      shape_;</div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>            std::vector&lt;uint32&gt;           strides_;</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>            Order                         order_;</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span> </div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span><span class="comment"></span>            <span class="keywordtype">void</span> checkIndicesGeneric(boost::python::tuple indices)</div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span>            {</div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>                <span class="keywordflow">if</span> (boost::python::len(indices) != numDimensions_)</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>                {</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span>                    std::string errStr =</div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span>                        <span class="stringliteral">&quot;Error: BoostNdarrayHelper::checkIndicesGeneric: Array has &quot;</span> + <a class="code hl_function" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(numDimensions_);</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno">  295</span>                    errStr += <span class="stringliteral">&quot; dimensions, you asked for &quot;</span> +</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span>                              <a class="code hl_function" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(<span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(boost::python::len(indices))) + <span class="stringliteral">&quot;!&quot;</span>;</div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span>                    PyErr_SetString(PyExc_RuntimeError, errStr.c_str());</div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span>                }</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span> </div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span>                <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; numDimensions_; ++i)</div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span>                {</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span>                    <span class="keywordtype">int</span> index = boost::python::extract&lt;int&gt;(indices[i]);</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span>                    <span class="keywordflow">if</span> (index &gt; shape_[i])</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno">  304</span>                    {</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>                        std::string errStr =</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>                            <span class="stringliteral">&quot;Error: BoostNdarrayHelper::checkIndicesGeneric: Input index [&quot;</span> + <a class="code hl_function" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(index);</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span>                        errStr += <span class="stringliteral">&quot;] is larger than the size of the array [&quot;</span> + <a class="code hl_function" href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">utils::num2str</a>(shape_[i]) + <span class="stringliteral">&quot;].&quot;</span>;</div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span>                        PyErr_SetString(PyExc_RuntimeError, errStr.c_str());</div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span>                    }</div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span>                }</div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span>            }</div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span> </div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span><span class="comment"></span>            <span class="keywordtype">void</span> checkIndices1D(<a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index)</div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span>            {</div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>                boost::python::tuple indices = boost::python::make_tuple(index);</div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>                checkIndicesGeneric(indices);</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>            }</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span> </div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>            <span class="comment">//============================================================================</span></div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span><span class="comment"></span>            <span class="keywordtype">void</span> checkIndices2D(<a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index1, <a class="code hl_typedef" href="namespacenc.html#af0f49663fb63332596e2e6327009d581">uint32</a> index2)</div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span>            {</div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span>                boost::python::tuple indices = boost::python::make_tuple(index1, index2);</div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>                checkIndicesGeneric(indices);</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>            }</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>        };</div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span>    } <span class="comment">// namespace boostPythonInterface</span></div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span>} <span class="comment">// namespace nc</span></div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span> </div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span><span class="preprocessor">#endif </span><span class="comment">// #if defined(NUMCPP_INCLUDE_BOOST_PYTHON_INTERFACE) &amp;&amp; !defined(NUMCPP_NO_USE_BOOST)</span></div>
<div class="ttc" id="a_stl_algorithms_8hpp_html"><div class="ttname"><a href="_stl_algorithms_8hpp.html">StlAlgorithms.hpp</a></div></div>
<div class="ttc" id="a_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.hpp</a></div></div>
<div class="ttc" id="anamespacenc_1_1stl__algorithms_html_ab200b92040bf3da8ee4325f5a994e73d"><div class="ttname"><a href="namespacenc_1_1stl__algorithms.html#ab200b92040bf3da8ee4325f5a994e73d">nc::stl_algorithms::equal</a></div><div class="ttdeci">bool equal(InputIt1 first1, InputIt1 last1, InputIt2 first2) noexcept</div><div class="ttdef"><b>Definition:</b> StlAlgorithms.hpp:140</div></div>
<div class="ttc" id="anamespacenc_1_1utils_html_a16a6ad93c420ed7a003d9921bee1a7c6"><div class="ttname"><a href="namespacenc_1_1utils.html#a16a6ad93c420ed7a003d9921bee1a7c6">nc::utils::num2str</a></div><div class="ttdeci">std::string num2str(dtype inNumber)</div><div class="ttdef"><b>Definition:</b> num2str.hpp:44</div></div>
<div class="ttc" id="anamespacenc_html"><div class="ttname"><a href="namespacenc.html">nc</a></div><div class="ttdef"><b>Definition:</b> Cartesian.hpp:40</div></div>
<div class="ttc" id="anamespacenc_html_a25f36ba02112a206936fae22b0724bb9"><div class="ttname"><a href="namespacenc.html#a25f36ba02112a206936fae22b0724bb9">nc::size</a></div><div class="ttdeci">uint32 size(const NdArray&lt; dtype &gt; &amp;inArray) noexcept</div><div class="ttdef"><b>Definition:</b> size.hpp:43</div></div>
<div class="ttc" id="anamespacenc_html_a9386099a0fdc2bc9fb0dbfde5606584d"><div class="ttname"><a href="namespacenc.html#a9386099a0fdc2bc9fb0dbfde5606584d">nc::int32</a></div><div class="ttdeci">std::int32_t int32</div><div class="ttdef"><b>Definition:</b> Types.hpp:36</div></div>
<div class="ttc" id="anamespacenc_html_a9ba5a0aa26753a185985b8273fb9062d"><div class="ttname"><a href="namespacenc.html#a9ba5a0aa26753a185985b8273fb9062d">nc::uint8</a></div><div class="ttdeci">std::uint8_t uint8</div><div class="ttdef"><b>Definition:</b> Types.hpp:42</div></div>
<div class="ttc" id="anamespacenc_html_abce4b61ffbaa3276f4f84088fdf25e95"><div class="ttname"><a href="namespacenc.html#abce4b61ffbaa3276f4f84088fdf25e95">nc::zeros</a></div><div class="ttdeci">NdArray&lt; dtype &gt; zeros(uint32 inSquareSize)</div><div class="ttdef"><b>Definition:</b> zeros.hpp:48</div></div>
<div class="ttc" id="anamespacenc_html_ae2b224742bc8263190d451a44ebe5e34"><div class="ttname"><a href="namespacenc.html#ae2b224742bc8263190d451a44ebe5e34">nc::shape</a></div><div class="ttdeci">Shape shape(const NdArray&lt; dtype &gt; &amp;inArray) noexcept</div><div class="ttdef"><b>Definition:</b> Functions/Shape.hpp:42</div></div>
<div class="ttc" id="anamespacenc_html_ae65c22c4f7d8d6a6529b43a58b56acb7"><div class="ttname"><a href="namespacenc.html#ae65c22c4f7d8d6a6529b43a58b56acb7">nc::astype</a></div><div class="ttdeci">NdArray&lt; dtypeOut &gt; astype(const NdArray&lt; dtype &gt; inArray)</div><div class="ttdef"><b>Definition:</b> astype.hpp:45</div></div>
<div class="ttc" id="anamespacenc_html_af0f49663fb63332596e2e6327009d581"><div class="ttname"><a href="namespacenc.html#af0f49663fb63332596e2e6327009d581">nc::uint32</a></div><div class="ttdeci">std::uint32_t uint32</div><div class="ttdef"><b>Definition:</b> Types.hpp:40</div></div>
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